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Linkedin Learning
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Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning
Show more📈 Analytical overview of Telegram channel Linkedin Learning
Channel Linkedin Learning (@linkedin_learning) in the English language segment is an active participant. Currently, the community unites 217 151 subscribers, ranking 389 in the Education category and 716 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 217 151 subscribers.
According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 147 over the last 30 days and by -17 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.95%. Within the first 24 hours after publication, content typically collects 1.52% reactions from the total number of subscribers.
- Post reach: On average, each post receives 15 095 views. Within the first day, a publication typically gains 3 293 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 14.
- Thematic interests: Content is focused on key topics such as author, linkedin, linux, javascript, 040k|.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Linkedin Learning
Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning”
Thanks to the high frequency of updates (latest data received on 25 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
217 151
Subscribers
-1724 hours
+717 days
+14730 days
Posts Archive
217 155
🔸 Full description 🔸
Sales forecasting is crucial for almost any business, because it affects sales deployment, financial planning, budgeting, operations planning, and marketing planning. Since sales forecasts have far-reaching impact, it's critical that the forecast information is as accurate as possible. In this course, sales and marketing professor Drew Boyd shares a step-by-step process for creating and managing effective sales forecasts. He takes you through how to define your market category, create the right processes, select the right forecasting technique, and collect data. In addition, he reveals how to use both qualitative and quantitative forecasting methods.
217 155
🔅 Sales Forecasting
🔊 Author: Drew Boyd
🔸 Date: 2022-02-16
⏰ Duration: 49m
🌀
Discover how to create and manage effective sales forecasts. Learn why forecasting is critical, and how to use qualitative and quantitative methods to project sales.
📗 Topics: Sales Forecasting
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
Want to test your Python skills? These concise challenges let you stretch your brain and test your talents. Instructor Barron Stone shares over a dozen Python challenges, as well as his own solutions to each problem—the majority of which are less than two dozen lines of code. The challenges include finding prime factors, sorting strings, scheduling a function, solving a sudoku, and more. You can tackle each problem using the tools in the Python standard library, or opt for the library of your choice. And since each challenge is self-contained, you can complete the course in any order—and at your own pace. Tune in to get the hands-on practice you need to level up your skills.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Each installment of the Level Up series offers at least 15 bite-sized opportunities to practice programming at various levels of difficulty, so you can challenge yourself and reinforce what youve learned. Check out the “Using GitHub Codespaces with this course” video to learn how to get a codespace up and running.
217 155
🔅 Level Up: Python
🔊 Author: Barron Stone
🔸 Date: 2022-11-09
⏰ Duration: 57m
🌀
Want to test your Python skills? These concise, self-contained challenges let you stretch your brain and test your talents.
📗 Topics: Python
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
Modern work in data science requires skilled professionals versed in analysis workflows and using powerful tools. Python can play an integral role in nearly every aspect of working with data—from ingest, to querying, to extracting and visualizing. In this course, instructor Ben Sullins highlights tips and tricks you can use right away to improve your skills in Python. Learn how to work with JSON data, CSV files, and Parquet files. Explore ways to read, inspect, and aggregate data using pandas. Plus, find out how to visualize data using basic charts, small multiples, and color in Plotly, as well as how to put the finishing touches on your data visualizations.
217 155
🔅 Python for Data Science Tips, Tricks, and Techniques
🔊 Author: Ben Sullins
🔸 Date: 2022-12-02
⏰ Duration: 1h 1m
🌀
Explore a series of tips and tricks that you can put into practice to improve your skills in Python.
📗 Topics: Data Science, Python
🔷 Join @linkedin_learning for more courses217 155
🔸 Full description 🔸
View Helen's LinkedIn NewsletterData visualization allows you to represent information digitally and graphically, to convey the results of data analysis. Microsoft Power BI is a suite of business analytics tools that help you gain insights from your data. The suite brings together familiar operations from well-known products—including Excel, Access, Power Query, and Power Pivot—to help you quickly move past the basics and on to comprehensive analysis. In this course, Helen Wall guides you through the advanced capabilities of the service. She shows how to work with calculations, effectively leverage the DAX language, create advanced queries, and use the M language to improve the querying process. Helen also demonstrates how to get data into Power BI using the Power Query editor and then model the loaded data using DAX columns, tables, and measures. To lend these concepts a real-world context, she shares how to create a financial model for loans.
217 155
🔅 Advanced Microsoft Power BI
🔊 Author: Helen Wall
🔸 Date: 2022-10-27
⏰ Duration: 3h 3m
🌀
Learn advanced uses of Microsoft Power BI. Learn how to perform calculations, effectively leverage the DAX language in data modeling, make advanced queries, and more.
📗 Topics: Microsoft Power BI
🔷 Join @linkedin_learning for more courses217 155
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